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Data Details

Farmland Distribution Dataset in the Yaluzangbu River, Nianchu River and Lhasa River Region of the Tibetan Plateau (2020)


SANG Yiming1,2LU Yahan1,2WANG Xue*1XIN Liangjie*1
1 Key Laboratory of Land Surface Pattern and Simulation，Institute of Geographic Sciences and Resources Research，Chinese Academy of Sciences，Beijing 100101，China2 University of Chinese Academy of Sciences，Beijing 100049，China

DOI:10.3974/geodb.2022.10.04.V1

Published:Oct. 2022

Visitors：4922       Data Files Downloaded：107      
Data Downloaded：1664.23 MB      Citations：

Key Words：

Tibetan Plateau,the Yaluzangbu River, Nianchu River and Lhasa River Region, farmland,2020,Google Earthn

Abstract：

Based on the high spatial resolution remote sensing images of Google Earth (2 m) in 2020, the authors interpreted and developed the farmland distribution dataset in the Yaluzangbu River, Nianchu River and Lhasa River Region of the Tibetan Plateau (2020) (YLN-F2020). Then geostatistical analysis method was taken to analyze the spatial distribution pattern of farmland. The dataset includes the following data in the study area: (1) boundary data; (2) spatial vector data of farmland; (3) spatial raster data of farmland; (4) verification points data of farmland. The results show that the total area of farmland of YLN-F2020 product is 2356.15 km², and the overall accuracy is 95.2%. The farmland in this area is mainly distributed along rivers, and more farmland in the east than in the west, more in the south than in the north. The farmland was mainly distributed in the southwestern area and the eastern area. The dataset is archived in the .shp, and .tif formats, and consists of 30 data files with data size of 568 MB (Compressed into one single file with 15.5 MB).Browse

Foundation Item：

Ministry of Science and Technology of the People's Republic of China (2019QZKK0603)

Data Citation：

SANG Yiming, LU Yahan, WANG Xue*, XIN Liangjie*. Farmland Distribution Dataset in the Yaluzangbu River, Nianchu River and Lhasa River Region of the Tibetan Plateau (2020)[J/DB/OL]. Digital Journal of Global Change Data Repository, 2022. https://doi.org/10.3974/geodb.2022.10.04.V1.

SANG Yiming, LU Yahan, WANG Xue, et al. Farmland distribution dataset of the Yarlung Zangbo-Lhasa-Nyangqu River region of the Tibetan Plateau [J]. Journal of Global Change Data & Discovery, 2022, 6(4): 619-630.

References：

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     [8] Zhang, Z., Wang, X., Zhao, X., et al. A 2010 update of National Land Use/ Cover Database of China at 1: 100000 scale using medium spatial resolution satellite images [J]. Remote Sensing of Environment, 2014, 149: 142-154.
     [9] Zhang, Y. L., Liu, L. S., Wang, Z. F., et al. Spatial and temporal characteristics of land use and cover changes in the Tibetan Plateau [J]. Chinese Science Bulletin, 2019, 64(27): 2865-2875.
     [10] Wei, H., Lv, C. H., Yang, K. J., et al. Spatial distribution dataset for facility agriculture in the Tibetan Plateau and two typical regions [J]. Journal of Global Change Data & Discovery, 2019, 3(4): 364-369+471-476.
     [11] Chen, F., Chen, J., Wu, H., et al. A landscape shape index-based sampling approach for land cover accuracy assessment [J]. Science China Earth Sciences, 2016, 59(12): 2263-2274.
     [12] Chen, X. Y., Lin, Y., Zhang, M., et al. Assessment of the cropland classifications in four global land cover datasets: A case study of Shaanxi Province, China [J]. Journal of Integrative Agriculture, 2017, 16(2): 298-311.
     [13] Chen, J., Cao, X., Peng, S., et al. Analysis and applications of GlobeLand30: A review [J]. ISPRS International Journal of Geo-Information, 2017, 6(8): 230.
     

Data Product:

ID Data Name Data Size Operation
0Datapaper_YLN-F2020.pdf9059.00kbDownLoad
1 YLN-F2020.rar 15926.82KB
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